IRC the compressed files consist of the list of the articles that were
accessed, in the order they were retrieved. You have to process them to
count how often each article was read.
Of course:
has done that heavy lifting already and they keep lists of the most popular
articles.
On 30 September 2011 18:53, Michael Katz <michaeladamkatz(a)yahoo.com> wrote:
Thanks for the reply. Can you tell me exactly which
dump files you'd look
in to find the number of page views, plus any information about finding the
page views within those files, if it's not obvious? Is there a way to
distinguish between editor page views and user page views? (Perhaps subtract
the number of edits made? If so, how I can find the number of edits made?)
Something about page views seems a little funny, because it seems like
there are some very recognizable things that just aren't looked up much. But
perhaps it's my best hope...
________________________________
From: WereSpielChequers <werespielchequers(a)gmail.com>
To: Michael Katz <michaeladamkatz(a)yahoo.com>om>; English Wikipedia <
wikien-l(a)lists.wikimedia.org>
Sent: Friday, September 30, 2011 2:55 AM
Subject: Re: [WikiEN-l] finding the "most recognizable" page names
Hi Michael,
I don't know if such a list exists, other than lists by largest numbers of
views.
Size of article probably relates to interest of one or a few editors and
complexity of information, I doubt if it would closely relate to
recognisability. Incoming links is probably better but can get awfully
skewed by templates, and some links are more meaningful than others.
Recognisable in the USA is not necessarily the same as recognisable
globally. Ideally if you want a US specific list you need US specific data,
if you use a global list you could wind up asking Americans about Johnny
Vegas, Aby Titmuss, Jack Straw and Kevin Pietersen. You might also consider
the generation you are targeting. Lady_Bird_Johnson would be better known
among Americans and older people.
I'd suggest using metrics of page views per article, and if you want a
specifically US product screen out articles that don't use American English
spelling. Better still would be to get page views from the USA, or at least
page views ignoring the 6 hours when the US is most likely to be asleep.
WereSpielChequers
On 30 September 2011 04:17, Michael Katz <michaeladamkatz(a)yahoo.com>
wrote:
I'm making a crossword-style word game, and I'm trying to automate the
process of creating the puzzles, at least somewhat.
I am hoping to find or create a list of English Wikipedia page titles,
sorted
roughly by how "recognizable" they are, where by recognizable I mean
something like, "how likely it is that the average American on the street
will be familiar with the name/phrase/subject".
For instance, just to take a random example, on a recognizability scale
from 0 to
100, I might score (just guessing here):
Lady_Gaga = 90
Lady_Jane_Grey = 10
Lady_and_the_Tramp = 90
Lady_Antebellum = 5
Lady-in-waiting = 70
Lady_Bird_Johnson = 65
Lady_Marmalade = 10
Ladysmith_Black_Mambazo = 10
One suggestion would just be to use the page length (either number of
characters or
physical rendered page length) as a proxy for recognizability.
That might work, but it feels kind of crude, and certainly would get many
false positives, such as Bose-Einstein_condensation.
Someone suggested to me that I might count incoming page links, and
referred me to
http://dumps.wikimedia.org/enwiki/latest/ and in particular
the file enwiki-latest-pagelinks.sql.gz. I downloaded and looked at that
file but couldn't understand whether/how the linking structure was
represented.
So my questions are:
(1) Do you know if a list like I'm try to make already exists?
(2) If you were going to make a list like this how would you do it? If it
was based
on page length, which files would you download and process to make
it as efficient as possible? If it was based on incoming links, which files
specifically would you use, and how would you determine the link count?
Thanks for any help.
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